Level 5
Data Scientist: Earth & Society
Classes 9-10 • AI for Global Challenges
Satellite Analytics & Pandemic Modeling. Build 'Water Sentinel' & 'Urban Flow'.
Module Progress
0% Complete0/4 Lessons
Module Content
Master AI for Global Challenges through interactive lessons and hands-on projects.
Project 5.1: The Water Sentinel (Satellite Analytics)
Act as a Remote Sensing Scientist to detect environmental decay in Indian lakes.
Technical Implementation Plan
- The Data Engine: Integrate OpenCV.js for Image Thresholding (convert to B&W based on intensity).
- Workflow Logic: Select region (e.g., Lake Bellandur) → Apply High-Pass Filter → Pixel Counter.
- The Result: Calculate water loss percentage: (Count2015 - Count2025) / Count2015.
Expected Outcomes
- Academic: Mastery of Percentage and Ratios (Math) and Resource Scarcity (Geography).
- Technical: Understanding Pixel Grids and Thresholding in Computer Vision.
- Awareness: Understand scale of climate change beyond news.
Project 5.2: Urban Flow (Pandemic & Transit Simulation)
Use Big Data Modeling to simulate virus spread across Bangalore wards using BMTC data.
Technical Implementation Plan
- The Math Engine: Use Math.js for SIR Differential Equations (Susceptible, Infected, Recovered).
- Simulation Logic: New_Infections = Beta * S * I / Total_Population. Beta controlled by Mask %.
- Visualizing the Map: SVG Map of Bangalore Wards colored from Yellow (Safe) to Deep Red (Critical).
Expected Outcomes
- Academic: Understanding Exponential Growth (Math) and Biological Spread.
- Technical: Proficiency in Predictive Modeling and Parameter Tuning.
- Societal: View Lockdowns and Social Distancing through a scientific lens.